Huh?

  • 0 Posts
  • 59 Comments
Joined 6 months ago
cake
Cake day: June 8th, 2025

help-circle











  • I did not say post title, I said image title. In any case, the data makes sense, it’s just a misrepresentation of the country as a whole because it’s not data that’s that useful to those living in there.

    My first reaction was to interpret the graph as “if you lived there, your stuff would gain value this much faster” but then realised it was literally “if you invested in stock from that country you would gain Y post conversion”, so I felt it was a misleading post in a community with the spirit of buy local.


  • Yet the title of the image makes it seem like this is an internal country thing, “stocks have risen more rapidly in other European countries than in the us”, then the subtitle corrects it, but the title is implying something different and not necessarily true.

    Also, the BuyEuropean community is about European people buying stuff from Europe, not internationals investing in Europe instead of the US, so of your point is correct this post is sorta out of place here.




  • *data engineer

    I’m also one but I don’t work for advertising. Most data engineers work for consulting companies that work for banks. We program automatic data processing pipelines. For example, bank transactions are stored somewhere, all the historic data, that needs processing to then be graphed out for exec number 3, or for whatever.

    Other companies might send you files that need to be automatically processed, cleaned, and put correctly where then other tools can pull that data correctly.

    We basically do all the background work concerning data manipulation. File processing, databases… all that stuff. And by databases it can be normal ones like posture to distributed ones like hdfs/hive/athena/whatever.

    Ad world is basically the same but with tracking info instead of transactions.

    If you are interested in day to day work, it’s a mix of coding SQL processes, then porting them to spark/pyspark for distributed massive processing. There are new shiny tools for those that don’t know much of the technical side to manage, sorta.